We are pleased to announce a new joint funding opportunity from Ontario Genomics and CANSSI Ontario, the Ontario regional centre of the Canadian Statistical Sciences Institute, establishing another joint Postdoctoral Fellowship in Genome Data Science. This Fellowship, now in its third year, will
CANSSI Ontario STAGE Welcomes PhD Trainee Hua Lu
Hua Lu, recipient of CANSSI Ontario STAGE Trainee Program. CANSSI Ontario STAGE is pleased to announce Hua Lu as one of three selected CANSSI Ontario STAGE Trainees. Hua is a PhD student in Biostatistics at Dalla Lana School of Public Health at the University of Toronto, under the supervision of
CANSSI Ontario STAGE Welcomes Postdoctoral Fellow Trainee Muhammad Shoaib
Muhammad Shoaib, recipient of CANSSI Ontario STAGE Trainee Program. CANSSI Ontario STAGE is pleased to announce Muhammad Shoaib as one of three selected CANSSI Ontario STAGE Trainees. Muhammad is a Postdoctoral Fellow at the Hospital for Sick Children and the Department of Psychiatry at the
CANSSI Ontario STAGE Welcomes PhD Trainee Xiaoyu Men
Xiaoyu Men, recipient of CANSSI Ontario STAGE Trainee Program. CANSSI Ontario STAGE is pleased to announce Xiaoyu Men as one of three selected CANSSI Ontario STAGE Trainees. Xiaoyu is a PhD student at the Department of Pharmacology in the Faculty of Medicine at the University of Toronto, and the
CANSSI Ontario STAGE: Spring 2023 Cohort Announced
TORONTO, ON. — CANSSI Ontario STAGE (STAGE) is pleased to announce a new cohort of trainees selected to receive mentorship and to work in research projects that span polygenic risk-environment (GxE) interaction models, multisystem inflammatory syndrome in children (MIS-C), and population
Ontario Genomics-CANSSI Ontario announce 2023 recipients of Postdoctoral Fellowships in Genome Data Science
TORONTO, ON. — CANSSI Ontario and Ontario Genomics have awarded two fellowships for early-career scientists to pursue work in the areas of statistical genetics, environmental genetics, or the economics and impacts of genomic technologies, in a climate-changing world, CANSSI Ontario and Ontario
2023 International Day of Women and Girls In Science: Maryam Onifade
Maryam Y. Onifade, PhD Candidate Department of Mathematics and Statistics, University of Ottawa Featured WorkOnifade MY, Roy-Gagnon MH, Parent ME, Burkett KM. Comparison of mixed model based approaches for correcting for population substructure with application to extreme phenotype sampling.BMC
2023 International Day of Women and Girls In Science: Emma Kroell
Emma Kroell, PhD Candidate Department of Statistical Sciences, University of Toronto Featured WorkKroell, E., Pesenti S.M., and Jaimungal, S. (2022). Stressing Dynamic Loss Models. Available at SSRN: https://dx.doi.org/10.2139/ssrn.4268639 Research Interest(s)I am broadly interested in